Data Science AI Model Evaluation Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this opportunity. OpenTrain is the #1 platform for finding and building careers in AI training and data labeling, helping professionals discover projects, build a profile, and apply in minutes. Creating an OpenTrain account is free.

About AI Model Evaluation Work

AI training is the human side of building artificial intelligence. Models improve when knowledgeable people review their outputs, create high-quality examples, and explain why an answer is correct, incomplete, or flawed. In this role, your technical judgment will help shape how AI systems reason about quantitative subjects.

• Work remotely with flexible contractor scheduling
• Contribute to cutting-edge AI development through expert evaluation
• Use professional knowledge to improve model accuracy and reasoning

The Role

OpenTrain AI is recruiting a Data Science AI Model Evaluation Expert to assess how AI models handle data science, statistics, machine learning, experimentation, and quantitative reasoning. You will create expert-level prompts, datasets, and reference materials while identifying methodological weaknesses, statistical errors, and gaps in quantitative reasoning.

This part-time contractor opportunity is intended for data scientists and quantitative professionals who can assess complex technical work and communicate conclusions precisely. The advertised compensation range is $245-$280 per hour, with a commitment of 20+ hours per week.

• Remote contractor opportunity
• 20+ hours per week
• $245-$280 per hour
• English communication required
• Applicants must be based in an English-speaking country

What You'll Do

You will evaluate model outputs against technically sound approaches and provide structured feedback that supports model improvement. The work combines text evaluation, expert prompt and response writing, and the creation of high-quality reference content.

• Evaluate AI model outputs on data science, statistics, machine learning, experimentation, and quantitative reasoning problems
• Create expert-level prompts, datasets, and reference solutions that reflect sound technical practice
• Identify flawed methodology, statistical errors, and weaknesses in quantitative reasoning
• Provide structured feedback that helps improve AI model capability
• Distinguish correct, incomplete, and methodologically unsound approaches
• Communicate technical conclusions clearly in written English

Requirements

You should have strong knowledge of data science, statistics, machine learning, experimentation, and quantitative reasoning, including the ability to recognize statistical errors and flawed methodology. Clear written communication, independent judgment, and close attention to detail are essential.

Candidates should have at least one year of professional experience at a top company in technology, finance, or research, including recent experience within the past seven years. An undergraduate degree from a top-ranked university is preferred.

• At least one year of professional experience in technology, finance, or research
• Recent relevant experience within the past seven years
• Expertise in data science, statistics, machine learning, experimentation, and quantitative reasoning
• Experience creating expert prompts, datasets, or reference solutions
• Ability to explain technical concepts clearly in writing
• Strong independent judgment and attention to detail
• Ability to work independently in a remote setting
• Professional English communication skills

Who Should Apply

This opportunity is a strong fit for data scientists, statisticians, machine learning professionals, and other quantitative specialists who enjoy examining technical reasoning in depth. It is also suited to professionals who can turn their expertise into precise prompts, reference answers, and actionable feedback for AI systems.

Although the structured experience level is listed as entry level, the role requires at least one year of relevant professional experience and substantial subject-matter expertise.

• Data scientists with experience evaluating analytical methods
• Statistics or quantitative professionals who can assess experiments and inference
• Machine learning practitioners who understand model reasoning and technical quality
• Professionals from technology, finance, or research backgrounds

How to Apply

Apply through OpenTrain AI to be considered for this remote contractor opportunity. Your OpenTrain profile can help present your relevant experience and technical strengths as you pursue work in the growing AI training industry.

• Create a free OpenTrain account
• Highlight your data science and quantitative experience
• Apply in minutes through OpenTrain
• Build a lasting portfolio of AI training work